Effective Data Analysis and Reporting Course Training Course


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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.

June 2025

Date Duration Location Standard Fee Action
16 Jun - 20 Jun 5 days Half-day KES 55,000 | $ 595 Individual Group

July 2025

Date Duration Location Standard Fee Action
21 Jul - 25 Jul 5 days Half-day KES 55,000 | $ 595 Individual Group

August 2025

Date Duration Location Standard Fee Action
18 Aug - 22 Aug 5 days Half-day KES 55,000 | $ 595 Individual Group

September 2025

Date Duration Location Standard Fee Action
15 Sep - 19 Sep 5 days Half-day KES 55,000 | $ 595 Individual Group

October 2025

Date Duration Location Standard Fee Action
20 Oct - 24 Oct 5 days Half-day KES 55,000 | $ 595 Individual Group

November 2025

Date Duration Location Standard Fee Action
17 Nov - 21 Nov 5 days Half-day KES 55,000 | $ 595 Individual Group

December 2025

Date Duration Location Standard Fee Action
15 Dec - 19 Dec 5 days Half-day KES 55,000 | $ 595 Individual Group

Course Overview

The "Effective Data Analysis and Reporting Course Training Course" is designed to equip participants with essential skills for analyzing and reporting data effectively. The course covers practical techniques for transforming raw data into meaningful insights and communicating findings clearly. Participants will learn how to use various tools and methods to analyze data, generate reports, and present results in a compelling manner. This training is ideal for professionals who need to make data-driven decisions and convey complex information in an accessible way.

Duration

5 days

Target Audience 

  • Data analysts and business analysts
  • Project managers and team leaders
  • Marketing and sales professionals
  • Financial analysts
  • Anyone involved in data-driven decision-making and reporting

Organizational Impact

  • Improved decision-making through better data insights
  • Enhanced ability to generate clear and actionable reports
  • Increased efficiency in data analysis and reporting processes
  • Strengthened overall data literacy across the organization

Personal Impact

  • Enhanced skills in data analysis and interpretation
  • Increased confidence in presenting data and findings
  • Better ability to communicate complex information to diverse audiences
  • Greater proficiency with data analysis tools and reporting techniques

Course Level:

Course Objectives

  • Understand key concepts and techniques in data analysis
  • Learn how to effectively use data analysis tools and software
  • Develop skills to create clear and concise reports
  • Master strategies for presenting data to various stakeholders
  • Apply best practices in data visualization and reporting

Course Outline

Module 1: Introduction to Data Analysis and Reporting

  • Overview of data analysis techniques
  • Types of data and their sources
  • Basic data cleaning and preparation
  • Case Study: Analyzing and Reporting on Customer Satisfaction Survey Data

Module 2: Data Analysis Tools and Techniques

  • Introduction to popular data analysis software (e.g., Excel, SPSS, R)
  • Descriptive statistics and inferential statistics
  • Data mining and pattern recognition
  • Case Study: Using SPSS for Market Segmentation Analysis

Module 3: Data Visualization Best Practices

  • Principles of effective data visualization
  • Creating charts, graphs, and dashboards
  • Tools and software for data visualization
  • Case Study: Designing a Dashboard for Sales Performance Metrics

Module 4: Effective Report Writing and Presentation

  • Structuring and formatting reports
  • Crafting clear and actionable insights
  • Presentation techniques for diverse audiences
  • Case Study: Preparing a Business Intelligence Report for Executive Review

Module 5: Advanced Data Analysis Techniques

  • Regression analysis and predictive modeling
  • Handling large datasets and big data
  • Integrating data from multiple sources
  • Case Study: Predictive Modeling for Customer Churn Analysis

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Course Administration Details:

Methodology

These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation and Airport Transfer

Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:

Payment

Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]


Course Registration

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